Abstract
The urgent depletion of fossil fuel resources and the pressing need for environmental preservation have spurred a critical examination of alternative energy solutions. In response, this study focuses on the development of innovative approaches to mitigate the overreliance on conventional energy sources and transition towards sustainable alternatives. As part of a final year project, the research draws inspiration from this imperative and endeavors to design a prototype model that integrates advanced techniques for harnessing solar energy. Index Terms–Maximum Power Point, Buck-Boost Converter, Neural Network Architecture
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CITATION STYLE
L, . Shreya. (2024). Maximum Power Point Tracking with Artificial Neural Network. INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT, 08(04), 1–5. https://doi.org/10.55041/ijsrem31784
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